Comprehensive Survey of Image Steganography: Techniques, Evaluations, and Trends in Future Research

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SEC X.2: Recommended Elliptic Curve Domain Parameters

New technologies are driving transformational changes in the global financial system. Virtual currencies (VCs) and the underlying distributed ledger systems are among these. VCs offer many potential benefits, but also considerable risks. VCs could raise efficiency and in the long run strengthen financial inclusion. At the same time, VCs could be potential vehicles for money laundering, terrorist financing, tax evasion and fraud. While risks to the conduct of monetary policy seem less likely to arise at this stage given the very small scale of VCs, risks to financial stability may eventually emerge as the new technologies become more widely used. National authorities have begun to address these challenges and will need to calibrate regulation in a manner that appropriately addresses the risks without stifling innovation. As experience is gained, international standards and best practices could be considered to provide guidance on the most appropriate regulatory responses in different fields, thereby promoting harmonization and cooperation across jurisdictions.

Virtual Currencies and Beyond; Initial Considerations

Secret Image Sharing (SIS) scheme is to encrypt a secret image into ‘n’ specious shadows. It is unable to reveal any data on the secret image if at least one of the shadows is not achieved. In this paper, wavelet-based secret image sharing scheme is proposed with encrypted shadow images using optimal Homomorphic Encryption (HE) technique. Initially, Discrete Wavelet Transform (DWT) is applied on the secret image to produce sub bands. From this process, multiple shadows are created, encrypted and decrypted for each shadow. The encrypted shadow can be recovered just by choosing some subset of these ‘n’ shadows that makes transparent and stack over each other. To improve the shadow security, each shadow is encrypted and decrypted using HE technique. For the concern on image quality, the new Oppositional based Harmony Search (OHS) algorithm was utilized to generate the optimal key. From the analysis, it shows that the proposed scheme provide greater security compared to other existing schemes.

Secret image sharing scheme with encrypted shadow images using optimal homomorphic encryption technique

Rapid development of Internet makes transactions message even easier and faster. The main problem in the transactions message is security, especially if the message is private and secret. To secure these messages is usually done with steganography or cryptography. Steganography is a way to hide messages into other digital content such as images, video or audio so it does not seem nondescript from the outside. While cryptography is a technique to encrypt messages so that messages can not be read directly. In this paper have proposed combination of steganography using discrete cosine transform (DCT) and cryptography using the one-time pad or vernam cipher implemented on a digital image. The measurement method used to determine the quality of stego image is the peak signal to noise ratio (PSNR) and ormalize cross Correlation (NCC) to measure the quality of the extraction of the decrypted message. Of steganography and encryption methods proposed obtained satisfactory results with PSNR and NCC high and resistant to JPEG compression and median filter. Keywords â€”Image Steganography, Discrete Cosine Transform (DCT), One Time Pad, Vernam, Chiper, Image Cryptography

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Secure Image Steganography Algorithm Based on DCT with OTP Encryption

In this era of Internet every digitized object is transferable and exchangeable over internet for various purposes. As every computer user knows that there are numerous security threats for digitized objects hence methods like steganography are getting more importance day by day. Though steganography is a very old method of hiding information behind some object, but still this is very effective for secure data transfer and data exchange. Today this method is used for digital objects like text, audio, video and images. In this paper a method for image steganography has been discussed, utilising basics of discrete wavelet transform.

A DWT Method for Image Steganography

Steganography is a very well-known method of information security through information hiding. Here two different steganographic methods have been used instead of using one steganographic method. This has been done with a layering approach. This method is named as multi-level steganography. Multi-Level Steganography has advantage of difficult decoding and sending two secret message through a single cover object.

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Multi-Level Steganographic Algorithm for Audio Steganography using LSB Modification and Parity Encoding Technique

The practice of transmitting secret data by using cover data is called steganography. At present, several versatile steganographic methods are available using different digital objects (e.g. image,...

Novel Text Steganography Using Natural Language Processing and Part-of-Speech Tagging

To ensure reliability and integrity in information transmission, image steganography is cutting edge technology in today's digital world. It can be implemented in spatial, time and frequency domain. In this research article, an effective algorithm has been introduced which would embed secret message data, scrambled by Arnold Transform, in frequency domain using the quantization coefficient modification in Discrete Cosine Transform (DCT). At first the cover image is split into blocks, then two dimensional DCT is applied on each image block and transformed secret message is inserted by analyzing mid-band coefficients of DCT. After the successful transmission of the cover image to the recipient, the secret message can be effectively recovered in high quality from the Stego image.

Implementation of image steganography algorithm using scrambled image and quantization coefficient modification in DCT

Steganography is a traditional technique of covert communication. It is also best way to conceal secret data without revealing its existence to the outsider. In this paper a new technique of Image Steganography has been proposed which is using Lorenz Chaotic Encryption to encrypt the secret message, 3 level Discrete Wavelet Transform to hide encrypted data and visual cryptography to share stego image in secret communication.

Barnali Gupta Banik

Papers

A DWT Method for Image Steganography

Multi-Level Steganographic Algorithm for Audio Steganography using LSB Modification and Parity Encoding Technique

Novel Text Steganography Using Natural Language Processing and Part-of-Speech Tagging

Implementation of image steganography algorithm using scrambled image and quantization coefficient modification in DCT

Secret Sharing Using 3 Level DWT Method of Image Steganography Based on Lorenz Chaotic Encryption and Visual Cryptography